Google’s December 2022 Spam Link Update Targets Unnatural Links

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December 14, 2022 Google is finally helping those who have been fraught about ranking lower than competitors who are using unethical linking tactics with the Google Spam Link Update which uses SpamBrain AI (AI-based spam-prevention system).

The last spam update was back on July 2021, so this is a welcome update. This update also comes not long after Google’s Helpful Content update which was also amazing for those who are doing SEO strategies above board.

This update will help improve the user experience (UX) and encourage users to report fake links back to Google.

Course: Google’s Twitter

This Update Is A Relief For Many

It never feels good to do the right thing and follow the rules of any game, yet the cheaters win. Google is stepping in and making a change with their recent update and we are loving it!

The only ones not loving it are the ones who are not playing fairly. Cheaters never win and what goes around does come around – so keep up doing the good work you do.

In our recent blog about What To Do When Your Competitor Uses Black Hat SEO, we tackled how flustering it can be to rank below competitors that are using Black Hat SEO tactics like buying backlinks, etc.

I can’t tell you how many companies that we have worked with when doing a competitor analysis, that we come across shady linking strategies that make us shake our heads.

Google Cares About Your Quality Linking Strategies

With Google’s recent release of their Link Spam update, it has become clear that not only is it our clients that are annoyed by high ranking websites that are not ethically sourcing links, but so is Google. This means the battle to the top of ranking will change over the next few months.

According to Google, it will take about two weeks to roll out and we can’t wait to see the impact. Our company as well as many other SEO professionals who do quality SEO have been waiting for this day and feel a sense of relief.


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What is SpamBrain AI?

Google said it is using the SpamBrain AI technology to “detect both sites buying links, and sites used for the purpose of passing outgoing links,” and not just “detect spam directly,”

SpamBrain AI is a machine learning system to improve on how Google detects spam.

Machine Learning (ML) is a type of Artificial Intelligence (AI) that uses computer systems to learn and adapt by using algorithms and statistical models to analyze and draw inferences from patterns in data.

Googles info on Google Spam Link update page, it states:

“As we have always emphasized, links obtained primarily for artificial manipulation of Search rankings are link spam. Our algorithms and manual actions aim to nullify these unnatural links at scale, and we will continue to improve our coverage. If you come across sites that engage in inorganic link building, please report them to us.”

Tips to avoid getting penalized by the update:

  • Always follow Google webmaster guidelines.
  • Audit your website an remove harmful links.
  • Do not use tools that generate links or content spinners.
  • Do not get links based on contracts or agreements.
  • Check that you website links are not fake and are naturally earned.
  • Do not participate in link exchanges.

Worried about being penalized?

Don’t worry about the latest SEO update if you are using authority building links that match your products, services and/or content – keep on doing the good work.

What can you do if you have not done the right things and are worried about getting penalized? The first thing is to think about how to clean up your linking strategies and look at the best way to build quality backlinks. If you need help, get in touch!

Quality SEO Matters

Also check out our article 5 Hugh Mistakes To Avoid When Build Backlinks which can help you along your way to building quality backlinks that will last a lifetime. Building backlinks is a strategy and it takes time because SEO is Like Gardening and it needs to be nurtured. Doing SEO right, from the beginning will help your business thrive in the long run.

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